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Author Information
Prashant Khanduri (University of Minnesota)
PRANAY SHARMA (Syracuse University)
Haibo Yang (Ohio State University)
Mingyi Hong (University of Minnesota)
Jia Liu (The Ohio State University)

Jia (Kevin) Liu is an Assistant Professor in the Dept. of Electrical and Computer Engineering at The Ohio State University and an Amazon Visiting Academics (AVA). He received his Ph.D. degree from the Dept. of Electrical and Computer Engineering at Virginia Tech in 2010. From Aug. 2017 to Aug. 2020, he was an Assistant Professor in the Dept. of Computer Science at Iowa State University. His research areas include theoretical machine learning, stochastic network optimization and control, and performance analysis for data analytics infrastructure and cyber-physical systems. Dr. Liu is a senior member of IEEE and a member of ACM. He has received numerous awards at top venues, including IEEE INFOCOM'19 Best Paper Award, IEEE INFOCOM'16 Best Paper Award, IEEE INFOCOM'13 Best Paper Runner-up Award, IEEE INFOCOM'11 Best Paper Runner-up Award, IEEE ICC'08 Best Paper Award, and honors of long/spotlight presentations at ICML, NeurIPS, and ICLR. He is an NSF CAREER Award recipient in 2020 and a winner of the Google Faculty Research Award in 2020. He received the LAS Award for Early Achievement in Research at Iowa State University in 2020, and the Bell Labs President Gold Award. His research is supported by NSF, AFOSR, AFRL, and ONR.
Ketan Rajawat (IIT Kanpur)
Pramod Varshney (Syracuse University)
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2021 : A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective »
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2022 : A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective »
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2022 : Building Large Machine Learning Models from Small Distributed Models: A Layer Matching Approach »
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2022 : With a Little Help from My Friend: Server-Aided Federated Learning with Partial Client Participation »
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2022 Poster: A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization »
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2022 Poster: Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence »
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2022 Poster: Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers »
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2022 Poster: Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity »
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2022 Poster: SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning »
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2021 : Contributed Talk 2: A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective »
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2021 Poster: A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum »
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2021 Poster: Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning »
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2021 Poster: Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons »
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2021 Poster: When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work »
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2020 Poster: Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree »
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2020 Spotlight: Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree »
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2020 Poster: Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems »
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2020 Poster: Understanding Gradient Clipping in Private SGD: A Geometric Perspective »
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2020 Poster: Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms »
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2020 Spotlight: Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems »
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2020 Poster: Provably Efficient Neural GTD for Off-Policy Learning »
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2019 : Lunch break and poster »
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2019 Poster: Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost »
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